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Understanding the Multidimensional and Dynamic Nature of Facial Expressions based on Indicators for Appraisal Components as Basis for Measuring Drivers’ Fear

Zhang, Meng and Ihme, Klas and Drewitz, Uwe and Jipp, Meike (2021) Understanding the Multidimensional and Dynamic Nature of Facial Expressions based on Indicators for Appraisal Components as Basis for Measuring Drivers’ Fear. Frontiers in Psychology. Frontiers Media S.A.. doi: 10.3389/fpsyg.2021.622433. ISSN 1664-1078.

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Official URL: https://www.frontiersin.org/articles/10.3389/fpsyg.2021.622433/full

Abstract

Facial expressions are one of the commonly used implicit measurements for the in-vehicle affective computing. However, the time courses and the underlying mechanism of facial expressions so far have been barely focused on. According to the Component Process Model of emotions, facial expressions are the result of an individual’s appraisals, which are supposed to happen in sequence. Therefore, a multidimensional and dynamic analysis of drivers’ fear by using facial expression data could profit from a consideration of these appraisals. A driving simulator experiment with 37 participants was conducted, in which fear and relaxation were induced. It was found that the facial expression indicators of high novelty and low power appraisals were significantly activated after a fear event (high novelty: Z = 2.80, p < .01, r = 0.46; low power: Z = 2.43, p < .05, r = 0.50). Furthermore, after the fear event, the activation of high novelty occurred earlier than low power. These results suggest that multidimensional analysis of facial expression is suitable as an approach for the in-vehicle measurement of the drivers’ emotions. Furthermore, a dynamic analysis of drivers’ facial expressions considering of effects of appraisal components can add valuable information for the in-vehicle assessment of emotions.

Item URL in elib:https://elib.dlr.de/140774/
Document Type:Article
Title:Understanding the Multidimensional and Dynamic Nature of Facial Expressions based on Indicators for Appraisal Components as Basis for Measuring Drivers’ Fear
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Zhang, MengMeng.Zhang (at) dlr.deUNSPECIFIED
Ihme, KlasKlas.Ihme (at) dlr.dehttps://orcid.org/0000-0002-7911-3512
Drewitz, UweUwe.Drewitz (at) dlr.deUNSPECIFIED
Jipp, MeikeMeike.Jipp (at) dlr.deUNSPECIFIED
Date:18 February 2021
Journal or Publication Title:Frontiers in Psychology
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
DOI :10.3389/fpsyg.2021.622433
Publisher:Frontiers Media S.A.
ISSN:1664-1078
Status:Published
Keywords:fear; facial expression; action units; in-vehicle; Component Process Model
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Road Transport
DLR - Research area:Transport
DLR - Program:V ST Straßenverkehr
DLR - Research theme (Project):V - NGC KoFiF
Location: Berlin-Adlershof
Institutes and Institutions:Institute of Transportation Systems > Human Factors
Institute of Transportation Systems > Information Gathering and Modelling, BA
Institute of Transportation Systems > Information Flow Modelling in Mobility Systems, BS
Deposited By: Zhang, Meng
Deposited On:15 Jul 2021 16:33
Last Modified:26 Jul 2021 16:25

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  • Understanding the Multidimensional and Dynamic Nature of Facial Expressions based on Indicators for Appraisal Components as Basis for Measuring Drivers’ Fear. (deposited 15 Jul 2021 16:33) [Currently Displayed]

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